specifier

specifier is a skill for Claude Code, Codex from mrtblount/Spec-to-Ship. It costs 44 tokens per session (1,641 once invoked), scanned A, original, MIT.

The first phase of Spec-Driven Development, a way of describing software requirements before implementation. It asks focused questions and produces a detailed specification covering user journeys, rules, unusual cases, and measurable completion criteria.

In plain words
What is it for?
Use it when planning a new software feature. It documents the normal user flow, edge cases, constraints, exclusions, and conditions that must always remain true.
Why use it?
It turns a vague feature idea into a shared, testable definition of what the software must do. This reduces misunderstandings about scope and what counts as finished.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/mrtblount/spec-to-ship/specifier
Any agent
npx skills add mrtblount/Spec-to-Ship --skill specifier
Clone the repo
git clone --depth 1 https://github.com/mrtblount/Spec-to-Ship

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for specifier

README.md
[![agentmods](https://agentmods.dev/badge/skills/mrtblount/spec-to-ship/specifier.svg)](https://agentmods.dev/skills/mrtblount/spec-to-ship/specifier)
Your own site
<a href="https://agentmods.dev/skills/mrtblount/spec-to-ship/specifier"><img src="https://agentmods.dev/badge/skills/mrtblount/spec-to-ship/specifier.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,641 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00044 $0.01641
Opus 5 $0.00022 $0.00821
Sonnet 5 $0.00009 $0.00328
Haiku 4.5 $0.00004 $0.00164

Measured 5d ago against content hash 81bf41ff8b6f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

specifier scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

spec-driven-dev/sub-skills/specifier/SKILL.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

The output is not for humans to read casually — it's a machine-parseable contract that defines exactly what "done" looks like.

Key insight from SDD methodology: Specs must be structured for machine comprehension, not just human readability. Use hierarchical Markdown, explicit invariants, and testable acceptance criteria.

IF user's description is vague or high-level:
  ASK targeted questions (MAX 5 per round — don't overwhelm):
    - "Who is the primary user? What's their situation when they use this?"
    - "What's the ONE thing this must do well to be useful?"
    - "What's explicitly out of scope for v1?"
    - "Are there hard constraints? (platform, budget, compliance, timeline)"
    - "Any existing products you like or want to differentiate from?"

  AWAIT answers before proceeding

ELIF user's description is detailed:
  SUMMARIZE understanding back to user
  ASK: "Did I get that right? Anything I'm missing?"
  AWAIT confirmation

Happy Path (the standard flow):

1. User arrives at [entry point]
2. User performs [action]
3. System responds with [response]
4. User sees [outcome]
5. ...continue until journey completes

Edge Cases (boundary conditions):

  • Empty states (no data yet, first-time user)
  • Maximum limits (too many items, too large file, rate limits)
  • Concurrent access (two users editing same thing)
  • Partial completion (user abandons halfway, network drops)
  • Invalid input (wrong format, out of range, special characters)

Error States (what can go wrong):

  • Network failures
  • Authentication expiration
  • Data validation failures
  • External service outages
  • Permission denied scenarios

For each error state, define: what the user sees, what the system does, how recovery works.

Present user journeys to user for validation before continuing.

Categories:

  • Business Logic: Rules about data and operations (e.g., "order total = sum of line items")
  • Data Integrity: Rules about data state (e.g., "email must be unique per account")
  • Security: Rules about access and protection (e.g., "API keys never in client code")
  • UX: Rules about user experience (e.g., "every destructive action requires confirmation")
  • Performance: Rules about speed (e.g., "search results return within 500ms")

Format each invariant as:

INV-{NNN}: {rule statement} — {why this matters}

These must be testable. If you can't write a test for it, it's not specific enough.

In Scope (v1): List every feature/capability that WILL be built.

  • Be specific: "User authentication via email/password" not "auth"
  • Include data requirements: "Store user profile with name, email, avatar"

Explicitly Out of Scope: List things that might seem related but are NOT being built.

  • For each, briefly state why (deferred to v2, not needed, too complex for now)

Read the full file on GitHub · 193 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 193 lines · 44 tokens per session scan A 81bf41ff8b6f

Subscribe to this mod's changes

specifier is a skill published in the GitHub repository mrtblount/Spec-to-Ship (2 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 1,641 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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